2. DevOps & Infrastructure

Generates Terraform infrastructure as code from design documents, implementing modular, maintainable configurations with best practices for resource naming and organization.

Coordinates sequential log workflows by managing individual log operations, improving system observability and operational efficiency.

Executes controlled chaos engineering experiments to proactively test system resilience by injecting failures in production-like environments.

Manages RunPod GPU instances for AI training: configures pods, launches jobs, monitors progress, and retrieves model checkpoints.

Automates deployment rollbacks and CI/CD pipeline execution for reliable application releases.

Analyzes and optimizes system throughput for request handling, data processing, and resource utilization to identify bottlenecks and evaluate scaling strategies.

Collects infrastructure performance metrics across compute, storage, network, containers, and databases for system monitoring and troubleshooting.

Automates provisioning and management of isolated test environments with configurable settings and data for specialized testing workflows.

Tracks HTTP errors, exceptions, and database issues to enhance application reliability through real-time monitoring.

Specialized tool for deploying and orchestrating Vertex AI ADK agents using A2A protocol, managing AgentCard discovery, task submission, and sandboxed execution environments.

Defines and tracks service reliability metrics including SLAs, SLIs, and SLOs for availability, latency, and error rates to monitor service health.

Automates infrastructure testing including security scans, cost estimation, and compliance validation, producing comprehensive pass/fail reports.

Centralizes performance metrics from applications, systems, databases, and services into a unified monitoring view.

Proactively monitors database health metrics and detects issues across multiple environments to maintain system reliability.

Automates database backups for PostgreSQL, MySQL, MongoDB, and SQLite with scheduling, encryption, and compression.

Automates database backup creation and management across multiple environments to ensure data availability and recovery readiness.

Automates database backup and disaster recovery processes, providing comprehensive guidance for infrastructure resilience.

Analyzes existing Terraform and AWS infrastructure to generate a migration plan and faber-cloud configuration for cloud adoption.

Automates application deployment through CI/CD pipeline orchestration with step-by-step guidance for creation and management.

Builds real-time dashboards to monitor API health, performance metrics, and trigger alerts for immediate issue detection.

Automates Docker Compose file generation for multi-container application setup with guided configuration.

Automates categorization of logs into session, test, and build types via path pattern matching and metadata frontmatter analysis.

Automates archiving completed specifications to cloud storage with index management, GitHub commenting, and local cleanup.

Validates operational changes in production to prevent destructive actions and ensure system safety.